A Hardware-in-the-Loop Simulator for mmWave Massive MIMO Using PYNQ Framework
- Resource Type
- Conference
- Authors
- Cheng, Sijia; Topal, Ozan Alp; Ozger, Mustafa; Cavdar, Cicek; Edfors, Ove; Liu, Liang
- Source
- 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS) Circuits and Systems (MWSCAS), 2023 IEEE 66th International Midwest Symposium on. :698-702 Aug, 2023
- Subject
- Components, Circuits, Devices and Systems
Productivity
System performance
Massive MIMO
Hardware
Software
Millimeter wave communication
Python
- Language
- ISSN
- 1558-3899
Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexible software and fast and accurate hardware with Python Productivity for Zynq (PYNQ) framework. The simulation of massive MIMO detection is accelerated by 4 orders of magnitudes with bit-accurate result. With the help of the developed simulator, we explore the design trade-offs between system performance and hardware cost for in-flight-cabin use cases.